Objective: Due to the non-linearity of numerous biomedical signals, non-linear analysis of multi-channel time series, notably multivariate multiscale entropy (mvMSE), has been extensively used in biomedical signal processing. However, mvMSE has three drawbacks: 1) mvMSE values are either undefined or unreliable for short signals; 2) mvMSE is not fast enough for real-time applications; and 3) th...

Biomedical applications are one of the important research areas recent years. One these fields study is biomedical signals. In this study, Normal Sinus Rhythm and three arrhythmic ECG signals (Ventricular Tachycardia, Ventricular Paced Atrial Flutter), vital sign signals, were designed implemented to work on FPGA chips using Xilinx-Vivado program with VHDL. Matlab-based taken as a reference com...

In this paper, using wavelet scalograms and coscalogram of concurrent biomedical signals we were able to detect their short-lived temporal interactions. The complete analysis should include investigation of signal coherence in amplitude and phase. This is achieved with a continuous complex wavelet transform. Thus, in the algorithms developed, we use the Morlet wavelet transform and some measure...

Electrocardiograms are widely used in biomedical signal processing to diagnose abnormal heart functioning. Many algorithms have been constructed to analyse, measure and compress these signals. These methods are hard to test because real ECG signals are distorted by several types of noise. In this paper we present an algorithm which generates realistic synthetic ECG signals. This algorithm, amon...

Oscillatory systems arise in the different biological and medical fields. Mathematical statistical approaches are fundamental to deal with these processes. The Frequency Modulated Mobiüs approach (FMM), reviewed this paper, is one of approaches. Little known as it has been recently developed, solves a variety exciting questions real data; some them, such decomposition signal into components the...

The article considers the problems of adaptation existing and development new diagnostic algorithms methods remote monitoring physiological state a person in relation to Internet Things technology. In order reduce energy consumption wearable unit biomedical signal sensors, redundancy recorded transmitted information, critical situation recognition process is divided into two stages. At first st...